The prediction of drug-target interactions (DTIs) has emerged as a vital step in drug discovery. Recently, biomedical knowledge graph enables the utilization of multi-omics resources for modelling ...

Drug–target interaction (DTI) prediction is a fundamental computational task in drug discovery. Despite recent advancements, existing approaches often suffer from data sparsity and fail to capture the ...

Exploring drug–target interactions (DTIs) is crucial for drug discovery. Most existing methods for predicting DTIs rely solely on the linear structures of molecules, such as SMILES or the amino acid ...

In recent years, supervised learning has seen notable progress in research on aircraft target detection using synthetic aperture radar (SAR) images, but its performance is heavily restricted by the ...